Triple
T7357227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stick It |
E169655
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jessica Bendinger |
E649377
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jessica Bendinger | Statement: [Stick It, screenwriter, Jessica Bendinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Bendinger Context triple: [Stick It, screenwriter, Jessica Bendinger]
-
A.
Jessica Bendinger
chosen
Jessica Bendinger is an American screenwriter and director best known for writing the hit cheerleading film "Bring It On" and other teen-focused comedies.
-
B.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
C.
Christina Steinberg
Christina Steinberg is an American film producer best known for her work on acclaimed animated features, including the Oscar-winning "Spider-Man: Into the Spider-Verse."
-
D.
Lisa Gottsegen
Lisa Gottsegen is an American businesswoman and philanthropist best known as the longtime wife of actor Dustin Hoffman.
-
E.
Jennifer Bartels
Jennifer Bartels is an American actress and comedian known for her work in television, including starring roles in comedy and drama series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f13a62e48190a2d1781a630aa9f0 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ee2397481909552cec2d4b90cc5 |
completed | March 28, 2026, 9:57 p.m. |
Created at: March 27, 2026, 3:06 p.m.